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dc.contributor.authorPerfetto, Livia
dc.contributor.authorAcencio, Marcio Luis
dc.contributor.authorBradley, Glyn
dc.contributor.authorCesareni, Gianni
dc.contributor.authordel Toro, Noemi
dc.contributor.authorFazekas, David
dc.contributor.authorHermjakob, Henning
dc.contributor.authorKorcsmaros, Tamas
dc.contributor.authorKuiper, Martin
dc.contributor.authorLægreid, Astrid
dc.contributor.authorLo Surdo, Prisca
dc.contributor.authorLovering, Ruth C.
dc.contributor.authorOrchard, Sandra
dc.contributor.authorPorras, Pablo
dc.contributor.authorThomas, Paul
dc.contributor.authorTouré, Vasundra
dc.contributor.authorZobolas, John
dc.contributor.authorLicata, Luana
dc.date.accessioned2020-05-18T07:00:27Z
dc.date.available2020-05-18T07:00:27Z
dc.date.created2019-02-25T14:52:43Z
dc.date.issued2019
dc.identifier.citationBioinformatics. 2019, 35 (19), 3779-3785.en_US
dc.identifier.issn1367-4803
dc.identifier.urihttps://hdl.handle.net/11250/2654693
dc.description.abstractMotivation Combining multiple layers of information underlying biological complexity into a structured framework represent a challenge in systems biology. A key task is the formalization of such information in models describing how biological entities interact to mediate the response to external and internal signals. Several databases with signalling information, focus on capturing, organizing and displaying signalling interactions by representing them as binary, causal relationships between biological entities. The curation efforts that build these individual databases demand a concerted effort to ensure interoperability among resources. Results Aware of the enormous benefits of standardization efforts in the molecular interaction research field, representatives of the signalling network community agreed to extend the PSI-MI controlled vocabulary to include additional terms representing aspects of causal interactions. Here, we present a common standard for the representation and dissemination of signalling information: the PSI Causal Interaction tabular format (CausalTAB) which is an extension of the existing PSI-MI tab-delimited format, now designated PSI-MITAB 2.8. We define the new term ‘causal interaction’, and related child terms, which are children of the PSI-MI ‘molecular interaction’ term. The new vocabulary terms in this extended PSI-MI format will enable systems biologists to model large-scale signalling networks more precisely and with higher coverage than before. Availability and implementation PSI-MITAB 2.8 format and the new reference implementation of PSICQUIC are available online (https://psicquic.github.io/ and https://psicquic.github.io/MITAB28Format.html). Supplementary information Supplementary data are available at Bioinformatics onlineen_US
dc.language.isoengen_US
dc.publisherOxford University Press (OUP)en_US
dc.titleCausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and disseminationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber3779-3785en_US
dc.source.volume35en_US
dc.source.journalBioinformaticsen_US
dc.source.issue19en_US
dc.identifier.doi10.1093/bioinformatics/btz132
dc.identifier.cristin1680508
dc.relation.projectNorges forskningsråd: 247727en_US
dc.description.localcodeThis is a pre-copyedited, author-produced version of an article accepted for publication following peer review. The version of record is available online at: https://doi.org/10.1093/bioinformatics/btz132en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2


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